The concept of sustainability, emerged against the concerns about environmental degradation and social inequality, has led the public and private sectors to follow sustainability policies and practices. Therefore, businesses have started to select their suppliers by evaluating them based on the sustainability criteria such as market conditions, government policies, business objectives, and geographical location. In sustainable supply chain management, possible problems can be overcome by creating a balance between economic, environmental, and social dimensions through supplier selection. Using the Mamdani-type Fuzzy Inference Systems, a new model in the on-board equipment sector has been proposed to solve the sustainable supplier selection problem of a company. The sustainability level and performance level of suppliers were simultaneously calculated based on the same rules in the proposed model. Later, the business suppliers were ranked according to the sustainability and performance levels of the suppliers. It has been determined that there are different priority rankings among the same criteria for sustainability and performance levels by using the rules in the proposed model.


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    Titel :

    Research of Sustainable Supplier Selection Problem Using Fuzzy Inference Systems


    Beteiligte:


    Erscheinungsdatum :

    2023




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Unbekannt




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